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Philip Ball www.philipball.com Utopia Theory Towards a physics of society

Philip Ball

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Page 1: Philip Ball

Philip Ball

www.philipball.com

Utopia TheoryTowards a physics of

society

Page 2: Philip Ball

“The centre of politics has shifted…. The neoliberal thinking that has dominated the industrial world for nearly 30 years has led to a financial crisis, which in turn caused the global downturn…. Clearly, there can be no turning back to the failed and discredited politics of old. Instead, we need to use this time of emergency to aim for a different future and to get there by different means…. this is not a crisis of capitalism, but a crisis of a society and democracy that have failed to regulate the market.”

Neal Lawson & John Harris, New Statesman 9 March 2009

“Many of the problems our economy faces are the result of the use of misguided models. Unfortunately, too many [economic policy-makers] took the overly simplistic models of courses in the principles of economics (which typically assume perfect information) and assumed they could use them as a basis for economic policy… We need a new balance between market and government.”

Joseph Stiglitz, New Statesman 16 October 2008

Page 3: Philip Ball

Social Physics and the Complex Systems of Human Social Dynamics

N. Johnson, Two’s Company, Three Is Complexity (OneWorld, 2007) M. Buchanan, The Social Atom (Bloomsbury, 2007); Ubiquity (Weidenfeld & Nicolson, 2000) P. Ball, Critical Mass (Heinemann, 2004) C. Castellano & S. Fortunato, Rev. Mod. Phys. 81 (Jan-Mar 2009) J. H. Miller & S. E. Page, Complex Adaptive Systems (Princeton University Press, 2007) J. M. Epstein, Generative Social Science (Princeton University Press, 2006)

Page 4: Philip Ball

178

5

179

0

179

5

Nu

mb

er o

f d

eath

s

Year

Average

Average Number of deaths

Pro

bab

ilit

y o

f th

at d

eat

h c

ou

nt

Death statistics

Page 5: Philip Ball

1510501005000.000010.00010.010.0010.11Firm size (number of employees)

Fre

que

ncy

of f

irm

s o

f th

at s

ize

US firms in 1997

Axtell, Science 293, 1818 (2001)

Gaussian

Power law

Page 6: Philip Ball

110100100010,000110101010-2-4-6-8

Number of connections kPro

babi

lity

of h

avin

g k

conn

ectio

ns

Connections of pages on the WWW

Albert et al., Nature 401, 130 (1999).

Page 7: Philip Ball

Probability distribution of towns around London

1000100100.0010.010.1110100

Area (square km)

Nu

mb

er

of to

wn

s

Makse et al., Nature 377, 608 (1995).

Page 8: Philip Ball

Wealth distribution in the UK, 1996

1010010000.1110100Total net capital (thousands of pounds)

Cu

mu

lativ

e p

erce

nta

ge o

f pop

ula

tion

Pareto law

Page 9: Philip Ball

Statistics of fatal conflicts

Fatalities

Nu

mb

er

of c

on

flict

s

1000100101100100010,000100,0001 million10 millionL. F. Richardson, Statistics of Deadly Quarrels, eds Q. Wright & C. C. Lienau (Boxwood Press, Pittsburgh, 1960)

Page 10: Philip Ball

Statistics of fatal conflicts

Fatalities

Nu

mb

er

of c

on

flict

s

1000100101100100010,000100,0001 million10 millionN. Johnson et al., arxiv/physics/0506213

Page 11: Philip Ball

Queuing and task allocation

J. G. Oliveira & A.-L. Barabási,Nature 437, 1251 (2005)

Page 12: Philip Ball

Voting statistics in the Brazilian elections, 1998

Fraction of total votes

Nu

mb

er

of c

an

did

ate

s

0.00010.0010.010.10.00001Costa Filho et al., Phys. Rev. E 60, 1067 (1999).

Page 13: Philip Ball

Social power laws and self-organized criticalityG. K. Zipf, Human Behavior and the Principle of Least Effort (Addison-Wesley, Reading, MA, 1949)

Page 14: Philip Ball

Self-organized criticality and the sandpile0.10.010.0010.000111010010003210-4-3-2-10.00001-5

Size of avalanche

Pro

bab

ility

of a

vala

nch

eFluctuations at the critical point

Page 15: Philip Ball

Economic fluctuations

10010.01100.10.001-15-10-505101520-20Variation

-20-1001020-20-1001020ab S&P500

Gaussian

‘Fat-tailed’

Page 16: Philip Ball

The magnetism of voting

0.00010.0010.010.10.00001A. T. Bernardes et al., Eur. Phys. J. B 25, 123 (2002)

Page 17: Philip Ball

Opinion dynamics

K. Sznajd-Weron & J. Sznajd, Int. J. Mod. Phys. C 11, 1157 (2000)

The rules of opinion formation (Sznajd model)

W. Weidlich, Sociodynamics (Taylor & Francis, 2002)S. Galam et al., J. Math. Sociol. 9, 1 (1982)

Page 18: Philip Ball

“…there is an unbridgeable gap between the ‘behaviour’ of [subatomic particles] and those of the human beings who constitute the objects of study of social science... aside from pure physical reflexes, human behaviour cannot be understood without the concept of volition—the unpredictable capacity to change our minds up to the very last moment. By way of contrast, the elements of nature ‘behave’ as they do for reasons of which we know only one thing: the particles of physics do not ‘choose’ to behave as they do.”

Robert Heilbroner

Page 19: Philip Ball

Feedback in social interactions

A rare example of ‘turning the dial’ experimentally: M. J. Salganik et al., Science 311, 854 (2006)

The ‘Broken Windows’ effect: K. Keizer et al., Science 322, 1681 (2008)

Page 20: Philip Ball

Attraction and repulsion in human interaction

D. Helbing & P. Molnar, Phys. Rev. E 51, 4282 (1995)

Page 21: Philip Ball

Interacting walkers in a corridor

D. Helbing et al., Environment & Planning B, 28, 361 (2001).

http://www.helbing.org/Pedestrians/Corridor.html

Page 22: Philip Ball

Interacting walkers in a panic

D. Helbing et al., Nature 407, 487 (2000).http://angel.elte.hu/~panic/

Page 23: Philip Ball

Interacting walkers at the Notting Hill Carnival

M. Batty et al., Urban Studies 40, 1573 (2003).

Page 24: Philip Ball

Interacting walkers at the Notting Hill Carnival

M. Batty et al., Urban Studies 40, 1573 (2003).

Page 25: Philip Ball

The formation of human trailsD. Helbing et al., Nature 388, 47 (1997)

Page 26: Philip Ball

The formation of human trails

Page 27: Philip Ball

The formation of human trails

Page 28: Philip Ball

The formation of human trails

Page 29: Philip Ball

Modelling traffic

D. Helbing, Rev. Mod. Phys. 73, 1067 (2001)B. S. Kerner, The Physics of Traffic (Springer, 2004)

Page 30: Philip Ball

Phantom traffic jams?

Time

Dis

tanc

e al

ong

road

Page 31: Philip Ball

Phasetransitions

Density

Vapour

Open road

Liquid

Congested

Solid

Jam

*

*

*

*

Page 32: Philip Ball

Why do societies segregate?

T. C. Schelling, Micromotives and Macrobehavior (W. W. Norton, New York, 1978)

0 10 20 30 40 50

0

10

20

30

40

50

0 10 20 30 40 50

0

10

20

30

40

50

Page 33: Philip Ball

Alliance formation

Alliance 1SunAT&TPrimeIBM

≈ UNIX International(+IBM)

Alliance 2DECHewlett-PackardApolloIntergraphSGI

≈ Open Software Foundation

(-IBM)

R. Axelrod et al., Management Sci. 41, 1493 (1995)R. Axelrod & D. S. Bennett, Brit. J. Polit. Sci. 23, 211 (1993)

ABCD ABCD

Page 34: Philip Ball

Firm growth

R. Axtell, Working Paper No. 3, Brookings Institution, Washington (1999)

100150200250200400600

200150100502004006008001000TimeTimea b

Num

ber

of f

irm

s

Firm turnover

1510501005000.000010.00010.010.0010.11a b10,000,0001,000,000100,00010,0001,0001001101001,00010,000100,0001,000,000Firm size (number of employees)Firm size (number of employees)

Fre

quen

cy o

f fi

rms

of th

at s

ize

Simulated distributionfrom agent-based model

R. Axtell, Science 293, 1818 (2001)

10,000,0001,000,000100,00010,0001,0001001101001,00010,000100,0001,000,000Firm size (number of employees)Num

ber

of f

irm

s

Page 35: Philip Ball

Game theory

e.g. the Minority Game: D. Challet, M. Marsili & Y.-C. Zhang, Minority Games (Oxford University Press, 2005)

Econophysics

R. N. Mantegna & H. E. Stanley, Introduction to Econophysics (Cambridge University Press, 2000)

J. L. McCauley, Dynamics of Markets (Cambridge University Press, 2004)

J. D. Farmer & J. Geanakoplos, arxiv:0803.2996

Page 36: Philip Ball

Thomas Hobbes(1588-1679)

The first ‘social physicist’?

Leviathan (1651)

Page 37: Philip Ball

John Stuart Mill(1806-73)

Auguste Comte(1798-1857)

Pierre-Simon Laplace(1749-1827)

The emergence of social physics